Triple
T37352688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kleinfeld Bridal |
E927366
|
entity |
| Predicate | hasNotableStaffRole |
—
|
GENERATED |
| Object | bridal consultant |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableStaffRole Context triple: [Kleinfeld Bridal, hasNotableStaffRole, bridal consultant]
-
A.
hasNotableRoleIn
Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
-
B.
hadStaffRole
chosen
Indicates that an entity served in a specific staff role or position for another entity during some period.
-
C.
hasAdultStaffRole
Indicates that an entity holds a staff position or role designated specifically for adults.
-
D.
hasNotableCrewMember
Indicates that an entity is associated with a crew member who is considered notable or distinguished in some way.
-
E.
hasNotableGuestRole
Indicates that an entity appears in a significant but non-starring guest role in relation to another entity, such as a show, episode, or production.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.